Intact single muscle fibres from SOD1<sup>G93A</sup> amyotrophic lateral sclerosis mice display preserved specific force, fatigue resistance and training‐like adaptations
Bibliographic record
Abstract
Key points How defects in muscle contractile function contribute to weakness in amyotrophic lateral sclerosis (ALS) were systematically investigated. Weakness in whole muscles from late stage SOD1G93A mice was explained by muscle atrophy as seen by reduced mass and maximal force. On the other hand, surviving single muscle fibres in late stage SOD1G93A have preserved intracellular Ca2+ handling, normal force‐generating capacity and increased fatigue resistance. These intriguing findings provide a substrate for therapeutic interventions to potentiate muscular capacity and delay the progression of the ALS phenotype. Abstract Amyotrophic lateral sclerosis (ALS) is a motor neuron disease characterized by degeneration and loss of motor neurons, leading to severe muscle weakness and paralysis. The SOD1G93A mouse model of ALS displays motor neuron degeneration and a phenotype consistent with human ALS. The purpose of this study was to determine whether muscle weakness in ALS can be attributed to impaired intrinsic force generation in skeletal muscles. In the current study, motor neuron loss and decreased force were evident in whole flexor digitorum brevis (FDB) muscles of mice in the late stage of disease (125–150 days of age). However, in intact single muscle fibres, specific force, tetanic myoplasmic free [Ca2+] ([Ca2+]i), and resting [Ca2+]i remained unchanged with disease. Fibre‐type distribution was maintained in late‐stage SOD1G93A FDB muscles, but remaining muscle fibres displayed greater fatigue resistance compared to control and showed increased expression of myoglobin and mitochondrial respiratory chain proteins that are important determinants of fatigue resistance. Expression of genes central to both mitochondrial biogenesis and muscle atrophy where increased, suggesting that atrophic and compensatory adaptive signalling occurs simultaneously within the muscle tissue. These results support the hypothesis that muscle weakness in SOD1G93A is primarily attributed to neuromuscular degeneration and not intrinsic muscle fibre defects. In fact, surviving muscle fibres displayed maintained adaptive capacity with an exercise training‐like phenotype, which suggests that compensatory mechanisms are activated that can function to delay disease progression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".